README.md

metadata

license: apache-2.0
library_name: peft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - EllieS/pubmedqa_dpo_data
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
  - name: zephyr-7b-dpo-lora-pubmedqa
    results: []

zephyr-7b-dpo-lora-pubmedqa

This model is a fine-tuned version of EllieS/zephyr-7b-sft-qlora on the EllieS/pubmedqa_dpo_data dataset. It achieves the following results on the evaluation set:

• Loss: 0.6931
• Rewards/chosen: 0.0
• Rewards/rejected: 0.0
• Rewards/accuracies: 0.0
• Rewards/margins: 0.0
• Logps/rejected: -36.0156
• Logps/chosen: -31.6600
• Logits/rejected: -2.8963
• Logits/chosen: -2.8905

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.1+cu121
• Datasets 2.14.6
• Tokenizers 0.15.0